Author

Zhe Tang

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Jul 2026

Self-Boosting Vision-Language Models with Noisy Student On-Policy Self-Distillation

This work proposes NOPD (Noisy Student On-Policy Self-Distillation), a simple yet effective self-distillation approach that improves VLMs without any external models or ground-truth answers, and demonstrates that NOPD is a general approach to enhance VLMs, achieving improvements across three models on 12 benchmarks.

Shuai Wang, Daoan Zhang, Zhe Tang et al. · arXiv.org · 0 citations